معرفی
Shelda Sajeev is a Postdoctoral Researcher at Flinders Digital Health Research Centre, College of Science and Engineering, Flinders University. She leads the Shandong Flinders Joint project on Machine Learning for Heart Disease Risk Prediction and serves as principal investigator for the AI-PREDICT project focused on prognostic cardiac event models using health data analytics.
- PhD in Machine Learning & Medical Image Processing (Flinders University, 2019)
- Masters in Computer Science & Engineering (VTU, India, 2012)
- Bachelor in Computer Science & Engineering (MG University, India, 2005)
Her research integrates medical image analysis, pattern recognition, and machine learning for healthcare applications, with recent work spanning telehealth, cardiac risk prediction, and respiratory disease diagnostics. She has contributed to systematic reviews on healthcare interventions and developed novel deep learning algorithms for medical data analysis.
Notable trends in her publications include: systematic review methodologies, deep learning for diagnostics, and healthcare policy analysis. Awards include the Early Career Researcher Impact Seed Grant (2019), Australian Postgraduate Award (2014-2017), and multiple travel grants/fellowships.
- Computer Science Teachers Association (CSTA)
- The Indian Society for Technical Education (ISTE)
- International Association of Computer Science and Information Technology (IACSIT)
- Journal reviewer for Computers in Biology and Medicine and IET Image Processing
Shelda's work aligns with UN Sustainable Development Goals (SDG 3: Good Health & Wellbeing) through applications in cardiovascular disease prediction, medical tourism analysis, and telehealth optimization.
